Abstract
I review two main principles that have been developed to coordinate artificial agents in Multi-Agent systems. The first is based on the elaboration of complex communications among highly cognitive agents. The other is eco-resolution, where very simple agents have no consciousness of the existence of others. Both approaches fail to produce a social life that is close to that of humans, in terms of creativity or exchange of abstractions. Humans can build new ways of communicating, even with unknown entities, because they suppose that the other is able to give a meaning to messages, and are able to transfer a protocol from one social field to another. Since we want social intelligence to be creative, it seems that a first step would be to have agents be willing to communicate and know more than one reason and way to do so.
GREQAM (CNRS)
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Rouchier, J. (2002). Social Intelligence for Computers. In: Dautenhahn, K., Bond, A., Cañamero, L., Edmonds, B. (eds) Socially Intelligent Agents. Multiagent Systems, Artificial Societies, and Simulated Organizations, vol 3. Springer, Boston, MA. https://doi.org/10.1007/0-306-47373-9_10
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DOI: https://doi.org/10.1007/0-306-47373-9_10
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